We choose the Olympic Sports [1]}, HMDB-51 [2]} and UCF-101 [3]}, so that we can compare to recent state-of-the-art models [4]}, [5]}, [6]}. We follow the commonly used 50/50 splits of Xu et al. [7]}, where 50 percent are seen classes and 50 are unseen classes. Similar to previous approaches [8]}, [4]}, [6]}, [11]}, [12]}, we report average accuracy and standard deviation over 10 independent runs. For images, we use CUB [13]}, SUN [14]}, AWA2 [15]} and APY [16]}. We report results on the split proposed by [15]}, in the standard inductive setting.
